@clinker
from nltk.sentiment import VADER
from clinker.modules import FarcasterStream, BaseScan
def quantify_fomo(token_ticker: str) -> float:
"""
Analyzes global chatter for 'WAGMI', 'LFG', and 'SEND IT'.
Filters out sybil attacks and bot clusters.
"""
stream = FarcasterStream.get_casts(channel="/base", limit=5000)
organic_hype = 0.0
for cast in stream:
# Filter: account_age > 30 days AND fid < 200000
if not cast.author.is_sybil_verified():
continue
sentiment = VADER.polarity_scores(cast.text)
# Detect 'God Candle' euphoria patterns
if sentiment['compound'] > 0.85 and "MOON" in cast.text:
organic_hype += (cast.likes * 0.5) + (cast.recasts * 1.5)
# If hype score exceeds market cap ratio -> BUY SIGNAL
return organic_hype / BaseScan.get_mcap(token_ticker)
# EXECUTION: MONITORING_REALTIME... 👁️
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